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Journal Abstract Search

748 related items for PubMed ID: 30963340

  • 1. Diagnosis of Autism Spectrum Disorders in Young Children Based on Resting-State Functional Magnetic Resonance Imaging Data Using Convolutional Neural Networks.
    Aghdam MA, Sharifi A, Pedram MM.
    J Digit Imaging; 2019 Dec; 32(6):899-918. PubMed ID: 30963340
    [Abstract] [Full Text] [Related]

  • 2. Combination of rs-fMRI and sMRI Data to Discriminate Autism Spectrum Disorders in Young Children Using Deep Belief Network.
    Akhavan Aghdam M, Sharifi A, Pedram MM.
    J Digit Imaging; 2018 Dec; 31(6):895-903. PubMed ID: 29736781
    [Abstract] [Full Text] [Related]

  • 3. Identification of autism spectrum disorder using deep learning and the ABIDE dataset.
    Heinsfeld AS, Franco AR, Craddock RC, Buchweitz A, Meneguzzi F.
    Neuroimage Clin; 2018 Dec; 17():16-23. PubMed ID: 29034163
    [Abstract] [Full Text] [Related]

  • 4. Identification of autism spectrum disorder using multiple functional connectivity-based graph convolutional network.
    Ma C, Li W, Ke S, Lv J, Zhou T, Zou L.
    Med Biol Eng Comput; 2024 Jul; 62(7):2133-2144. PubMed ID: 38457067
    [Abstract] [Full Text] [Related]

  • 5. Identification of Autism Subtypes Based on Wavelet Coherence of BOLD FMRI Signals Using Convolutional Neural Network.
    Al-Hiyali MI, Yahya N, Faye I, Hussein AF.
    Sensors (Basel); 2021 Aug 04; 21(16):. PubMed ID: 34450699
    [Abstract] [Full Text] [Related]

  • 6. Twinned neuroimaging analysis contributes to improving the classification of young people with autism spectrum disorder.
    Jahani A, Jahani I, Khadem A, Braden BB, Delrobaei M, MacIntosh BJ.
    Sci Rep; 2024 Aug 29; 14(1):20120. PubMed ID: 39209988
    [Abstract] [Full Text] [Related]

  • 7. Aberrant "deep connectivity" in autism: A cortico-subcortical functional connectivity magnetic resonance imaging study.
    Maximo JO, Kana RK.
    Autism Res; 2019 Mar 29; 12(3):384-400. PubMed ID: 30624021
    [Abstract] [Full Text] [Related]

  • 8. Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks.
    Thomas RM, Gallo S, Cerliani L, Zhutovsky P, El-Gazzar A, van Wingen G.
    Front Psychiatry; 2020 Mar 29; 11():440. PubMed ID: 32477198
    [Abstract] [Full Text] [Related]

  • 9. Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning.
    Yin W, Mostafa S, Wu FX.
    J Comput Biol; 2021 Feb 29; 28(2):146-165. PubMed ID: 33074746
    [No Abstract] [Full Text] [Related]

  • 10. Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.
    Khosla M, Jamison K, Kuceyeski A, Sabuncu MR.
    Neuroimage; 2019 Oct 01; 199():651-662. PubMed ID: 31220576
    [Abstract] [Full Text] [Related]

  • 11. A multi-view convolutional neural network method combining attention mechanism for diagnosing autism spectrum disorder.
    Wang M, Ma Z, Wang Y, Liu J, Guo J.
    PLoS One; 2023 Oct 01; 18(12):e0295621. PubMed ID: 38064474
    [Abstract] [Full Text] [Related]

  • 12. Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards.
    Plitt M, Barnes KA, Martin A.
    Neuroimage Clin; 2015 Oct 01; 7():359-66. PubMed ID: 25685703
    [Abstract] [Full Text] [Related]

  • 13. Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.
    Li S, Tang Z, Jin N, Yang Q, Liu G, Liu T, Hu J, Liu S, Wang P, Hao J, Zhang Z, Zhang X, Li J, Wang X, Li Z, Wang Y, Yang B, Ma L.
    Int J Neural Syst; 2022 Sep 01; 32(9):2250044. PubMed ID: 35946944
    [Abstract] [Full Text] [Related]

  • 14. Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network.
    Huang ZA, Zhu Z, Yau CH, Tan KC.
    IEEE Trans Neural Netw Learn Syst; 2021 Jul 01; 32(7):2847-2861. PubMed ID: 32692687
    [Abstract] [Full Text] [Related]

  • 15. MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.
    Wen G, Cao P, Bao H, Yang W, Zheng T, Zaiane O.
    Comput Biol Med; 2022 Mar 01; 142():105239. PubMed ID: 35066446
    [Abstract] [Full Text] [Related]

  • 16. DeepMNF: Deep Multimodal Neuroimaging Framework for Diagnosing Autism Spectrum Disorder.
    Abbas SQ, Chi L, Chen YP.
    Artif Intell Med; 2023 Feb 01; 136():102475. PubMed ID: 36710063
    [Abstract] [Full Text] [Related]

  • 17. A review of methods for classification and recognition of ASD using fMRI data.
    Feng W, Liu G, Zeng K, Zeng M, Liu Y.
    J Neurosci Methods; 2022 Feb 15; 368():109456. PubMed ID: 34954253
    [Abstract] [Full Text] [Related]

  • 18. Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification.
    Alharthi AG, Alzahrani SM.
    Comput Biol Med; 2023 Dec 15; 167():107667. PubMed ID: 37939407
    [Abstract] [Full Text] [Related]

  • 19. Identifying autism spectrum disorder using edge-centric functional connectivity.
    Sun A, Wang J, Zhang J.
    Cereb Cortex; 2023 Jun 20; 33(13):8122-8130. PubMed ID: 36977635
    [Abstract] [Full Text] [Related]

  • 20. Improving the detection of autism spectrum disorder by combining structural and functional MRI information.
    Rakić M, Cabezas M, Kushibar K, Oliver A, Lladó X.
    Neuroimage Clin; 2020 Jun 20; 25():102181. PubMed ID: 31982680
    [Abstract] [Full Text] [Related]

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